Evidence map›Paper›PMID 22958162›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2013

Hearing the voices of service user researchers in collaborative qualitative data analysis: the case for multiple coding.

Angela Sweeney, Kathryn E Greenwood, Sally Williams, Til Wykes, Diana S Rose

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. What Do We Know About Sharing Power in Co-Production in Mental Health Research? A Systematic Review and Thematic Synthesis.Health expectations : an international journal of public participation in health care and health policy · 2024
    Pooled it
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  6. The impact of Patient and Public Involvement in the SlowMo study: Reflections on peer innovation.Health expectations : an international journal of public participation in health care and health policy · 2022
    Trial
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  9. Review
  10. Article
  11. How Lived Experience Advisory Groups Contribute to the Design and Conduct of Mental Health Research.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Research in Partnership With Older People-Involvement in Conducting and Analysing Focus Groups.Health expectations : an international journal of public participation in health care and health policy · 2025
    Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Angela SweeneyDepartment of Mental Health Sciences, University College London, UK; Health Service and Population Research Department, Institute of Psychiatry, King's College, London.
Kathryn E Greenwood
Sally Williams
Til Wykes
Diana S Rose

Funding

Department of Health 08/1109/198Department of Health HS&DR/08/1109/198
6 · The paper itself

Abstract

backgroundHealth research is frequently conducted in multi-disciplinary teams, with these teams increasingly including service user researchers. Whilst it is common for service user researchers to be involved in data collection--most typically interviewing other service users--it is less common for service user researchers to be involved in data analysis and interpretation. This means that a unique and significant perspective on the data is absent.

aimThis study aims to use an empirical report of a study on Cognitive Behavioural Therapy for psychosis (CBTp) to demonstrate the value of multiple coding in enabling service users voices to be heard in team-based qualitative data analysis.

designThe CBTp study employed multiple coding to analyse service users' discussions of CBT for psychosis (CBTp) from the perspectives of a service user researcher, clinical researcher and psychology assistant. Multiple coding was selected to enable multiple perspectives to analyse and interpret data, to understand and explore differences and to build multi-disciplinary consensus.

resultsMultiple coding enabled the team to understand where our views were commensurate and incommensurate and to discuss and debate differences. Through the process of multiple coding, we were able to build strong consensus about the data from multiple perspectives, including that of the service user researcher. DISCUSSION: Multiple coding is an important method for understanding and exploring multiple perspectives on data and building team consensus. This can be contrasted with inter-rater reliability which is only appropriate in limited circumstances.

conclusionWe conclude that multiple coding is an appropriate and important means of hearing service users' voices in qualitative data analysis.

Indexed as

Clinical CodingCognitive Behavioral TherapyCooperative BehaviorData CollectionData Interpretation, StatisticalFocus GroupsHealth PrioritiesHealth Services ResearchHumansInterdisciplinary CommunicationPsychotic DisordersQualitative ResearchTreatment Outcomecollaborative researchmulti-disciplinary teamsmultiple codingmultiple perspectivesqualitative data analysisservice user researchers

Identifiers

PMID22958162
PMCPMC5060679

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.